Modeling Situation Awareness in Human-Like Agents Using Mental Models
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1697-1703.
Abstract
In order for agents to be able to act intelligently in an environment, a first necessary step is to become aware of the current situation in the environment. Forming such awareness is not a trivial matter. Appropriate observations should be selected by the agent, and the observation results should be interpreted and combined into one coherent picture. Humans use dedicated mental models which represent the relationships between various observations and the formation of beliefs about the environment, which then again direct the further observations to be performed. In this paper, a generic agent model for situation awareness is proposed that is able to take a mental model as input, and utilize this model to create a picture of the current situation. In order to show the suitability of the approach, it has been applied within the domain of F-16 fighter pilot training for which a dedicated mental model has been specified, and simulations experiments have been conducted.
@inproceedings{ijcai2011p285,
title = {Modeling Situation Awareness in Human-Like Agents Using Mental Models},
author = {Hoogendoorn, Mark and van Lambalgen, Rianne and Treur, Jan},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1697--1703},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-285},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-285},
}
TY - CPAPER TI - Modeling Situation Awareness in Human-Like Agents Using Mental Models AU - Hoogendoorn, Mark AU - van Lambalgen, Rianne AU - Treur, Jan T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1697 EP - 1703 DO - 10.5591/978-1-57735-516-8/IJCAI11-285 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-285 ER -Copied
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